71
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Approximating signals in the abstract

Pages 563-578 | Received 15 Nov 2009, Accepted 07 Jan 2010, Published online: 02 Jun 2010
 

Abstract

An analogue of the classical approximate sampling theorem is proved for the abstract analogue of a signal, i.e. a function on a locally compact abelian group that is continuous, square-integrable with an integrable Fourier–Plancherel transform. An additional hypothesis that the samples of the function are square-summable is needed and is discussed. This hypothesis is not very restrictive as in a sense it ‘almost always’ holds. Two asymptotic formulae are also obtained under some further conditions on the group.

AMS Subject Classifications::

Acknowledgements

The Institute of Biomathematics and Biometry and the organisers of the ‘Approximation Theory and Signal Analysis’ workshop at Lindau to celebrate Paul Butzer's 80th year are to be congratulated for a most enjoyable and stimulating occasion, enhanced by the spectacularly beautiful setting of Lake Constance. Paul has been a friend and colleague for many years and so I am particularly grateful to the Institute for its hospitality and for the financial support which enabled me to participate. The friendly and willing team of helpers deserve special thanks for dealing so efficiently and expertly with endless requests for all sorts of information and assistance. I also thank Rowland Higgins for many helpful conversations.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,361.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.